Jobs at Djinni

PocketBook is an international company currently looking for a Customer Support Specialist with Polish and English proficiency to join our team.

Responsibilities:

• Providing informational and advisory customer support (communicating with product users via email and phone);

• Analysing user issues and identifying effective solutions;

• Working within a CRM system;

• Performing various one-off tasks related to customer support;

• Identifying and analysing software bugs, working with a bug tracking system.

Requirements and personal qualities:

• Previous experience in customer service (preferred);

• Proficiency in Polish – C1 level or higher;

• Proficiency in English – B2 level or higher;

• Strong written communication skills with accuracy and speed;

• Ability to analyse situations and quickly find effective solutions;

• Strong knowledge of PCs and mobile devices;

• A structured approach to solving complex tasks and a positive mindset;

• Ability to work in a team;

• Experience communicating with native speakers is a plus.

We offer:

• Competitive salary;

• Working hours: 9:00–18:00 / 10:00–19:00;

• Remote work format;

• An experienced manager who will provide full onboarding, training, and support at all stages.

About the Company

We are a product-driven iGaming company operating in international markets across Tier 1–3 regions. Our team focuses on speed, quality, and scalable solutions, where design plays a key role in user engagement and conversion.

Responsibilities

• Create and adapt visual assets for online casino platforms (banners, game cards, promo materials)
• Prepare graphics for multiple formats and platforms
• Work with templates and design systems in Figma
• Retouch and modify assets when source files are unavailable
• Maintain and organize the design asset library
• Collaborate with marketing, product, and SMM teams
• Ensure consistency of the visual style across all materials

Requirements

• 1–3+ years of experience in graphic design
• Proven experience in iGaming / gambling / gaming industry
• Strong proficiency in Figma
• Basic knowledge of Adobe Photoshop / Illustrator
• Understanding of composition, typography, and visual hierarchy
• Strong attention to detail
• Ability to handle a high volume of repetitive tasks

Nice to Have

• Experience with UI/UX design
• Familiarity with AI tools (Midjourney, Adobe Firefly, etc.)
• Understanding of performance marketing creatives
• Basic motion/animation skills

What We Offer

• Competitive salary
• Fully remote work
• Working hours: 10:00–19:00 (UTC+2)
• Paid vacation and sick leave
• Mental health support
• Clear processes and structured workflow
• Growth opportunities within the iGaming industry

About the client
Haptiq is an AI-native enterprise solutions company with purpose-built technology for public & private companies, governments, institutions, asset managers, and family offices

With headquarters in New York City and four global offices, Haptiq is supported by more than 300 engineers and delivery professionals across the globe. By centralizing and unifying data, automating workflows, and surfacing predictive insights, Haptiq enables organizations to scale operational excellence and generate alpha across complex enterprise environments

The Opportunity
This position is for a Cloud Data Engineer with a background in Python, DBT, SQL, and data warehousing for enterprise-level systems
 

Responsibilities and Duties
— Design, develop, and deploy Python scripts and ETL processes with Prefect and Airflow to prepare data for analysis
— Model dimensional and denormalized schemas for optimal performance reporting and discovery
— Design AI-friendly DB schemas and ontologies
— Architect cloud ops solutions for data topologies
— Transform and migrate data with Python, DBT, and Pandas
— Work with event-based/streaming technologies for real-time ETL
— Ingest and transform structured, semi-structured, and unstructured data
— Optimize ETL jobs for performance and scalability to handle big data workloads
— Monitor and troubleshoot ETL jobs to identify and resolve issues or bottlenecks
— Implement best practices for data management, security, and governance with Prefect, DBT, and Pandas
— Write SQL queries and program stored procedures and reverse engineer existing data pipelines
— Perform code reviews to ensure fit to requirements, optimal execution patterns, and adherence to established standards
— Assist with automated release management and CI/CD processes
— Validate and cleanse data and handle error conditions gracefully
 

Requirements
— 3+ years of Python development experience, including Pandas
— 5+ years writing complex SQL queries with RDBMSes
— 5+ years of Experience with developing and deploying ETL pipelines using Airflow, Prefect, or similar tools
— Experience with cloud-based data warehouses in environments such as RDS, Redshift, or Snowflake
— Experience with data warehouse design: OLTP, OLAP, Dimensions, and Facts
— Experience with cloud-based data architectures, messaging, and analytics
— Bachelor’s degree in Computer Science or equivalent — preferred
 

Pluses — Experience with
— Docker
— Kubernetes
— CI/CD automation
— AWS lambdas/step functions
— Data partitioning
— Databricks
— Pyspark
— Cloud certifications
 

Why Join Us?
We value creative problem solvers who learn fast, work well in an open and diverse environment, and enjoy pushing the bar for success ever higher. We do work hard, but we also choose to have fun while doing it

Role Overview:

Our client is looking for a Middle/Senior Backend Software Engineer (Go) to support the rapid growth of their Sportsbook Platform. This role is focused on increasing delivery capacity for high-priority features and integrations, while ensuring the platform remains stable and scalable under rising traffic and partner demand. You will play a key part in improving time-to-market, supporting revenue growth, and strengthening system reliability as the product evolves.

Key Responsibilities:

— Developing and maintaining high-load microservices in Go;

— Building and optimising real-time data processing pipelines;

— Working with PostgreSQL and Redis (caching, Streams);

— Writing unit and integration tests; participating in code reviews;

— Collaborating with the Product Manager and the team on feature delivery;

— Troubleshooting production issues and implementing fixes.

Additionally, at the senior level, your responsibilities will include:

— Driving architectural decisions for scalability and reliability;

— Mentoring middle and junior engineers;

— Leading design of new subsystems and cross-service integrations;

— Owning end-to-end delivery of complex features from design to production;

— Establishing best practices for code quality, testing, and observability.

Required Skills & Experience:

Middle level:

— 3+ years of professional experience with Go;

— 4+ years of total backend development experience;

— Experience building and maintaining microservices in production;

— Solid knowledge of PostgreSQL - queries, migrations, indexing;

— Experience with Redis: caching, basic data structures;

— Understanding of horizontal scaling and high-availability principles;

— Git, CI/CD, Docker;

— Ability to work independently in a remote-first, async environment.

Senior level:

— 6+ years of professional experience with Go;

— 7+ years of total backend development experience;

— Experience designing, building, and scaling microservices; experience making architectural trade-offs;

— PostgreSQL — query optimisation, partitioning, performance tuning at scale;

— Kubernetes — resource tuning, HPA, troubleshooting under high load;

— Redis — Streams, pub/sub, memory optimisation;

— Hands-on experience designing systems for high-load (10K+ RPS);

— Ability to propose and defend architectural solutions;

— Git, CI/CD, Docker;

— Self-organised, comfortable with Kanban workflow and async communication.

Will be a plus:

— Experience in the iGaming/sportsbook domain;

— Knowledge of leader election, distributed consensus patterns;

— Experience with load testing tools (k6, Gatling);

— Familiarity with the observability stack (Prometheus, Grafana, structured logging);

— Experience with gRPC or event-driven architectures.

The company guarantees you the following benefits:

— Global Collaboration: Join an international team where everyone treats each other with respect and moves towards the same goal;

— Autonomy and Responsibility: Enjoy the freedom and responsibility to make decisions without the need for constant supervision;

— Competitive Compensation: Receive competitive salaries reflective of your expertise and knowledge as our partner seeks top performers;

— Remote Work Opportunities: Embrace the flexibility of fully remote work, with the option to visit company offices that align with your current location;

— Flexible Work Schedule: Focus on performance, not hours, with a flexible work schedule that promotes a results-oriented approach;

— Unlimited Paid Time Off: Prioritise work-life balance with unlimited paid vacation and sick leave days to prevent burnout;

— Career Development: Access continuous learning and career development opportunities to enhance your professional growth;

— Corporate Culture: Experience a vibrant corporate atmosphere with exciting parties and team-building events throughout the year;

— Referral Bonuses: Refer talented friends and receive a bonus after they successfully complete their probation period;

— Medical Insurance Support: Choose the right private medical insurance and receive compensation (full or partial) based on the cost;

— Flexible Benefits: Customise your compensation by selecting activities or expenses you'd like the company to cover, such as a gym subscription, language courses, Netflix subscription, spa days, and more;

— Education Foundation: Participate in a biannual raffle for a chance to learn something new unrelated to your job as part of your commitment to ongoing education.

Interview process:

— HR Interview with the Recruiter;

— A technical interview (1 h) to assess your hard skills;

— A 1.5-hour final interview with the team.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

About the role

We are looking for a Sales Manager to develop B2B sales in the Polish market. This is a highly autonomous role focused on building pipeline, generating leads, and closing deals.

Responsibilities

• Develop B2B sales in the Polish market
• Generate new leads (cold outreach)
• Manage full sales cycle (from first contact to closing)
• Conduct online and offline meetings
• Build and maintain your own lead database
• Work with CRM (Pipedrive) and outreach tools
• Run LinkedIn campaigns and A/B tests

Trial period goals

• 1+ closed deal
• 5+ offline meetings
• 50+ new leads generated

Requirements

• 2–3+ years of experience in B2B sales
• Experience with cold sales
• Polish — fluent (required)
• English — intermediate+
• Experience managing full sales cycle

Nice to have

• Experience in vending / hardware / SaaS
• Experience with Polish market
• Tools: LinkedIn Sales Navigator, Apollo, Expandi, Reply, Skylead
• Understanding of B2B sales processes

What we offer

• Salary: 7000 PLN + 3% per closed deal
• Bonus for achieving sales targets
• Office / hybrid format
• Official employment (Umowa / B2B)
• Medical insurance (PZU)
• Paid parking
• Training (AI, English)
• Paid vacation & sick leave
• Laptop

Growth opportunities

• Team Lead → Head of Sales (international)

We are looking for a Delivery Manager to lead day-to-day operations of AI data projects for a fast-growing company working with global clients on real-world AI systems.

This is a highly operational, execution-focused role. It is not a traditional project management position. You will work in a dynamic environment with multiple parallel workflows, constant incoming requests, and rapidly shifting priorities.

The company operates at the intersection of AI and data, supporting machine learning pipelines through large-scale data annotation, validation, and processing. Projects are live, high-impact, and require fast, precise coordination across distributed teams.

Key responsibilities:

• Manage 10–20 active projects simultaneously, ensuring smooth execution across all stages

• Act as the main escalation point for clients and maintain clear communication

• Coordinate internal teams including annotators, QA, and project coordinators

• Respond quickly to incoming requests from clients and internal stakeholders

• Continuously reprioritize tasks based on changing requirements

• Ensure data quality meets client expectations

• Identify risks early and act fast without over-engineering solutions

What we are looking for:

• 2–5 years of experience in operations, project management, or similar roles

• Experience in AI data, data annotation, BPO, or high-load environments is a strong plus

• Ability to handle multiple parallel workflows and frequent context switching

• Comfortable working with incomplete information and making decisions fast

• Strong communication skills and ability to stay calm under pressure

• Execution-first mindset, focused on getting things done

What is important to understand:

• This is a fast-paced, operations-heavy role

• High volume of communication across Slack, email, and client channels

• Priorities change constantly

• Success depends on speed, adaptability, and decision-making

What we offer:

• Competitive compensation

• Hands-on experience with AI data operations

• Work with international clients on real production projects

• Full ownership and direct impact on delivery results

About the client
Haptiq is an AI-native enterprise solutions company with purpose-built technology for public & private companies, governments, institutions, asset managers, and family offices

With headquarters in New York City and four global offices, Haptiq is supported by more than 300 engineers and delivery professionals across the globe. By centralizing and unifying data, automating workflows, and surfacing predictive insights, Haptiq enables organizations to scale operational excellence and generate alpha across complex enterprise environments

Role
We are seeking an experienced DevOps Engineer to join our engineering team
This role will drive infrastructure automation, streamline deployments across multiple cloud providers, and ensure the reliability, scalability, and observability of our systems
You’ll work closely with development, QA, and operations teams to build and maintain a world-class DevOps practice

Responsibilities
Infrastructure Automation
— Design, implement, and manage infrastructure-as-code (IaC) using Terraform across AWS, GCP, and Azure
— Maintain reusable, modular infrastructure components that scale with business needs

Cloud & Containerization
— Deploy and manage services across multiple cloud providers (AWS, GCP, Azure)
— Build, package, and orchestrate applications using Docker, Helm charts, and ECS (or equivalent orchestration platforms)
— Ensure high availability, fault tolerance, and cost optimization in cloud environments

Release&Deployment Management
— Develop and maintain CI/CD pipelines using AWS CodePipeline, Jenkins, or similar tools
— Automate build, test, and release processes to enable frequent and reliable deployments
— Collaborate with engineering teams to improve release velocity and rollback safety

Observability & Reliability
— Implement and manage observability solutions, including APM tools (e.g., Elastic, New Relic, Datadog) and metrics systems (Prometheus, Grafana)
— Define and monitor SLAs, SLOs, and SLIs to ensure system reliability and availability
— Establish proactive site reliability monitoring, alerting, and incident response processes

Collaboration & Best Practices
— Partner with developers and architects to design systems that are scalable and maintainable
— Promote DevOps culture by improving tooling, automation, and operational excellence
— Document standards, practices, and runbooks for operational consistency

Qualifications
— Strong experience with Terraform or other IaC frameworks
— Hands-on expertise in AWS, GCP, and Azure cloud environments
— Solid knowledge of Docker and container orchestration platforms (Helm, ECS, Kubernetes is a plus)
— Proven experience building and maintaining CI/CD pipelines (AWS CodePipeline, Jenkins, GitHub Actions, or similar)
— Familiarity with observability stacks (Prometheus, Grafana, ELK, APM tools)
— Background in site reliability engineering (SRE) practices, including monitoring, incident
management, and postmortems
— Strong scripting/programming skills (Python, Bash, Go, or similar)
— Excellent problem-solving and collaboration skills

Nice to Have
— Kubernetes expertise (EKS, GKE, AKS)
— Experience with secrets management (Vault, AWS Secrets Manager, etc.)
— Security automation and compliance monitoring

Why Join Us?
We value creative problem solvers who learn fast, work well in an open and diverse environment, and enjoy pushing the bar for success ever higher. We do work hard, but we also choose to have fun while doing it

Customer Support Operations Lead (US Hours / Managed Services)
 

Overview
We are looking for a Customer Support Operations Lead to manage and optimize support operations in a high-availability Managed Services Provider (MSP) environment. The role is designed for a systematic leader who can transform operational challenges into a structured, predictable process.
 

Your mission is to manage the interface between our technical operations and the end-clients of our US partner, ensuring seamless service delivery, strict SLA compliance, and high levels of client satisfaction.

 

📍 This position requires working in US business hours / US time zone schedule.

 

About the Project
The Customer is a US-based Managed Services Provider (MSP) specializing in cloud communications, VoIP solutions, and IT support services for enterprise B2B clients. The company delivers 24/7 mission-critical support, ensuring high system availability, reliability, and seamless communication infrastructure.

Key Responsibilities

• Operational Excellence: Lead and optimize 24/7 support operations, ensuring stable service delivery across chat, phone, and email channels.
• Strategic Prioritization: Act as a "Navigator" — analyzing incoming technical issues and prioritizing them based on business impact and SLA requirements.
• Stakeholder & Client Management: Serve as the primary point of contact for the end-clients of our US partner. Manage expectations, handle escalations, and provide clear updates.
• Process Improvement: Build and refine workflows, escalation paths, and internal knowledge bases to reduce "firefighting."
• Data-Driven Reporting: Monitor KPIs and SLAs using analytical tools. Prepare performance reports for the Customer to demonstrate operational excellence.
• Team Shielding: Protect the technical engineering team from communication noise, allowing them to focus on infrastructure stability.

Qualifications

• 3+ years in Customer Support / Service Operations / Service Delivery Management.
• English B2/C1: Fluent business communication skills for interaction with US-based corporate accounts.
• Ticketing Systems: Experience with ServiceNow (or similar enterprise platforms).
• Conceptual IT Knowledge: Understanding of IT support environments, including:
  • Office 365 (Email, SharePoint)
  • Networking (Firewalls, Routers)
  • Security (Antivirus, Antispam, Intune)
  • Windows Ecosystem
• Data & Analytics: Proficiency in KPI management and reporting (Power BI or advanced Excel).
• High Autonomy: Proven experience in managing projects independently.
• Reliability: Ability to maintain high performance during US business hours.

We offer:

• Friendly and supportive environment
• Competitive salary
• Continuous self-improvement
• Space to grow
• Paid vacation
• Bunch of perks =)

 Only for candidates with Ukrainian citizenship!

Project Description:

We are looking for a Senior Platform / SRE Engineer who brings strong real‑world engineering experience, understands how to operate high‑availability (4‑nines) business‑critical systems, and can drive best‑practice engineering across the team.
You will design, build, optimise, and support reliable, scalable platform components, working closely with engineering teams to ensure smooth delivery, observability, and robust production readiness.
You provide pragmatic technical leadership, suggest improvements based on experience, and always prioritise quality, maintainability, and automation — aligned with enterprise‑grade standards used company-wide.

Responsibilities:

- Design and implement scalable, reliable platform and infrastructure solutions (cloud‑native, microservices‑based).
- Build reusable, high‑quality engineering components and automation (CI/CD, IaC, deployment tooling).
- Own production readiness: monitoring, logging, performance, SLO/SLA thinking, resilience engineering. [tesco-careers.com]
- Support production systems, troubleshoot incidents, perform root‑cause analysis, and improve reliability.
- Evaluate risk vs. benefit in tactical vs. long‑term solutions; always recommend best‑practice approaches.
- Lead and contribute to system design discussions; guide teams on architecture choices.
- Ensure releases meet standards for a 99.99% availability environment.
- Mentor engineers and raise engineering standards across the team.

Mandatory Skills Description:

- Strong experience with Kubernetes (operations, scaling, networking).
- Couchbase or NoSQL distributed databases (replication, high availability).
- NGINX (reverse proxying, load balancing).
- Azure Cloud (networking, compute, security, managed services).
- ArgoCD / GitOps.
- Terraform / IaC
- CI/CD pipeline engineering (GitHub Actions / GitLab / Azure DevOps / Jenkins).
- Strong understanding of production reliability, incident management, monitoring & instrumentation.
- High‑quality engineering: clean code, reusable components, automation‑first mindset.
- Ability to suggest improvements based on prior real‑world experience.

Nice-to-Have Skills Description:

- Go / Python scripting
- Service mesh (Istio/Linkerd)
- Kafka (streaming pipelines, reliability patterns)
- Observability stack: Prometheus, Grafana, Loki, ELK
- Security best practices (secret management, IAM, zero trust)

ML/CV engineer

We’re looking for a passionate Machine Learning / Computer Vision Engineer to join our team.

As a member of our team, you will participate in research & development of solutions in the field of computer vision, document understanding using cutting-edge machine learning approaches. The position will involve different aspects of R&D including initial research, analysis, prototyping and development. By joining our team you’ll be able to affect Ukrainian Deftech area innovations and contribute to important today’s military products.

Responsibilities:

• Research and development of Image Processing algorithms including CV algorithms
• Research and prototyping of detection and tracking algorithms using ML and CV
• Work with data collection and analysis in order to improve efficiency of ML/CV dependent algorithms

Job Qualification:

• 2 years of commercial experience with Python
• Demonstrated hands-on experience with TensorFlow, PyTorch
• Practical Experience with Machine Learning, including designing, training, fine-tuning of ML models, and integrating machine learning systems into production environments related to Computer Vision, Document Understanding
• Experience with Object Tracking area using ML/CV
• Experience with vision transformer, vision encoder-decoder architectures
• Strong analytical and communication skills

Will be a plus:

• Experience in Miltech development
• Experience with code performance optimization
• Master’s or Bachelor’s degree in computer science, math, statistics, or related field
• Experience in C/C++ 

Working Conditions:

• official employment 
• offline work for growing deftech company (remote is also option but mostly offline)
• military exemption

• We are looking for a Senior Platform / SRE Engineer who brings strong real‑world engineering experience, understands how to operate high‑availability (4‑nines) business‑critical systems, and can drive best‑practice engineering across the team.
  You will design, build, optimise, and support reliable, scalable platform components, working closely with engineering teams to ensure smooth delivery, observability, and robust production readiness.
  You provide pragmatic technical leadership, suggest improvements based on experience, and always prioritise quality, maintainability, and automation — aligned with enterprise‑grade standards used company-wide.

   

• Responsibilities:

  - Design and implement scalable, reliable platform and infrastructure solutions (cloud‑native, microservices‑based).
  - Build reusable, high‑quality engineering components and automation (CI/CD, IaC, deployment tooling).
  - Own production readiness: monitoring, logging, performance, SLO/SLA thinking, resilience engineering. [tesco-careers.com]
  - Support production systems, troubleshoot incidents, perform root‑cause analysis, and improve reliability.
  - Evaluate risk vs. benefit in tactical vs. long‑term solutions; always recommend best‑practice approaches.
  - Lead and contribute to system design discussions; guide teams on architecture choices.
  - Ensure releases meet standards for a 99.99% availability environment.
  - Mentor engineers and raise engineering standards across the team.

   

• Mandatory Skills Description:

  - Strong experience with Kubernetes (operations, scaling, networking).
  - Couchbase or NoSQL distributed databases (replication, high availability).
  - NGINX (reverse proxying, load balancing).
  - Azure Cloud (networking, compute, security, managed services).
  - ArgoCD / GitOps.
  - Terraform / IaC
  - CI/CD pipeline engineering (GitHub Actions / GitLab / Azure DevOps / Jenkins).
  - Strong understanding of production reliability, incident management, monitoring & instrumentation.
  - High‑quality engineering: clean code, reusable components, automation‑first mindset.
  - Ability to suggest improvements based on prior real‑world experience.

   

• Nice-to-Have Skills Description:

  - Go / Python scripting
  - Service mesh (Istio/Linkerd)
  - Kafka (streaming pipelines, reliability patterns)
  - Observability stack: Prometheus, Grafana, Loki, ELK
  - Security best practices (secret management, IAM, zero trust)

   

• Languages:
  • English: C1 Advanced

We are looking for a Technical Recruiter to join our growing team.

Our ideal candidate should be ready to learn and be able to solve emerging problems and reasonably estimate tasks, deadlines and risks.

You are able to, and enjoy, working with people, have good communication and interpersonal skills. 

Your skills & qualifications:

- Basic knowledge of candidate sourcing tools (such as LinkedIn, GitHub, Djinni, DOU, Telegram, etc.);

- Experience in IT field on this role - 1,5+ years;

- Excellent communication skills;

- Ability to present a vacancy to candidates in the most efficient way to fill the job;

- Basic knowledge of the IT industry and technical terms;

- Willingness to enhance one’s abilities and pursue career growth;

- Drive for results and ability work in team;

- Curiosity and growth mindset;

- English — Intermediate.
 

Your key accountabilities and responsibilities will include:

- Participate in the Full Sicle recruitment process;

- Source and expand the candidate pool, utilizing LinkedIn, specialized platforms, and other channels;

- Identify new channels for finding the best candidates;

- Develop talent pool for future hiring needs;

- Conduct candidate screenings (technical experience and soft skills);

- Build long-term relationships with candidates and hiring managers throughout the recruitment process;

- Maintain candidate data in the ATS system (we use Hurma).

We offer: 

• Flexible work format - remote, 8-hour working day without time trackers;
• Competitive salary;
• TIght-knit and friendly team;
• Personalized career growth;
• Up to 50% coverage of the cost of professional courses;
• Vacation time, sick-leaves, national holidays ;
• Competitive bonuses for a personal recommendation of new employees;
• Professional development tools (mentorship program, tech talks and workshops);
• Corporate events and team buildings.

If you have what we are looking for and would love to join our Darly team, we want to hear from you!

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

We are building a video AI platform that automatically identifies and extracts the most engaging moments from raw video streams. The system tags, indexes, and generates multiple derivatives – including teasers, previews, summaries, and vertical video formats.

The platform operates at a near-real-time scale and processes billions of events daily. It combines deep learning, computer vision pipelines, and large-scale distributed systems.

Engineers working on performance optimization, scalability, and continuous integration of emerging AI technologies.

About the Role:

We are looking for a Senior Full Stack Engineer to take ownership of core platform features end-to-end – from early requirements to production. This is a true full-stack role, with a relatively balanced split between backend and frontend responsibilities.
On the backend side, the system is primarily built with Ruby on Rails (80% of the backend core) alongside Python and other services. While prior Ruby experience is a strong advantage, willingness to work with Ruby on a daily basis is essential.
On the frontend, you will work with Vanilla JavaScript (ES6), React, Vue, HTML, and CSS, depending on the product area.
You will collaborate closely with product, DevOps, and algorithm teams, contributing to architecture decisions and delivering high-impact features used at scale.

Key Responsibilities:

• Take ownership of features end-to-end: from requirements and design to implementation, testing, and production deployment
• Develop backend services primarily in Ruby on Rails, building scalable APIs and integrations
• Implement and optimize frontend components using JavaScript (ES6), React, Vue, HTML, and CSS, with focus on performance and Core Web Vitals
• Work on high-scale distributed systems handling large volumes of data and traffic
• Contribute to architectural discussions and technical decision-making within a small, senior team
• Collaborate closely with algorithm and DevOps teams to integrate AI models and video processing pipelines
• Maintain and improve legacy systems, including refactoring and performance optimization
• Actively leverage AI-driven development tools (e.g., Claude, Cursor, agentic workflows) in daily work

Required Competence and Skills:

• 8+ years of professional software development experience with Ruby on Rails. If your main specialization is  Python, or Java, then readiness to work extensively in Ruby is expected.
• 4+ years of front-end development in VanillaJS (or React, or Vue, or equivalent frameworks), CSS (including animations), and HTML.
• Experience developing embeddable widgets and integrating them into customer websites.
• Proven track record in performance optimization, Core Web Vitals, and front-end tooling.
• Strong understanding of end-to-end system design, cloud environments (preferably AWS), and CI/CD pipelines.
• Experience building and maintaining large-scale systems under high throughput.
• Familiarity with AI-driven development workflows, including prompt engineering and automated testing.

Nice to Have:

• Experience in content monetization and ad-tech integrations.
• Background in video AI, computer vision, or video processing applications.
• Knowledge of big data frameworks (e.g., Spark) or streaming architectures.
• Hands-on experience with cloud infrastructure and serverless deployments.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

MixDigital is a system marketing agency founded in 2013. We combine strategy, data, creative, media, and performance to achieve measurable results and grow our clients' businesses. We are growing fast and already managing projects in over 35 countries. Our portfolio includes 3,000+ campaigns for brands like Rozetka, Bosch, Puma, and Uklon.

Our team has 80+ professionals, and now we are looking for a new player — a TikTok Content Creator to strengthen our content expertise.

What you will do:

• Write scripts and propose ideas for TikTok videos;
• Conduct photo and video shoots for clients;
• Edit video materials after the shoots;
• Post content and prepare reports;
• Generate ideas for TikTok strategies.

Sounds interesting? Send us your CV, and let’s discuss the details!

What we expect:

• Experience in creating content for social media (TikTok);
• Ability to shoot and edit videos using mobile apps (CapCut is a must; knowledge of Premiere Pro or Lightroom is a plus);
• Skills in shooting with professional cameras;
• Creative thinking, attention to detail, and a sense of style.

Will be a plus:

• Experience working with brands or in a marketing agency;
• Understanding of TikTok trends and platform algorithms;
• Experience with analytics (ability to evaluate content performance);
• Experience working with UGC creators or influencers;
• Basic knowledge of performance marketing (understanding what works in ads and which "hooks" engage people);
• Experience in building content strategies for business goals.

What we offer:

• Scale: An opportunity to work with top Ukrainian and international brands in various niches;
• Professional Growth: We support your development and offer the chance to grow into a TikTok Lead role;
• No Micromanagement: We discuss important things together, but everyone works independently and takes responsibility; 
• Flexibility: we can discuss a flexible schedule focused on your results, rather than hours spent in the office

We are looking forward to meeting you! Send your CV here or message us on Telegram

Department/Project Description

We are a global audience and location intelligence company that helps marketers connect the digital and physical world. We provide data-driven solutions to enhance marketing campaigns by leveraging location and audience data to reveal consumer behavior and enable more precise targeting and measurement. We work on high-end / high-performance / high-throughput systems for in-time analysis of data for autonomous driving and other big data applications e.g. for E-commerce.



Job Responsibilities

We are looking for a Data Analytics Architect to join our technical proficiency track. This is a highly technical, Individual Contributor (IC) role. You will act as the Technical Lead for your squad—making critical architectural decisions, defining engineering standards, and driving cross-squad collaboration—without the responsibilities of people management.

You will be the technical north star for the team, approaching extremely complex data problems with a rigorous software engineering mindset. You will design, build, and oversee production-grade data platforms that process massive volumes of geo-spatial data, audience attributes, and geo-location time-series data.


Job Description

7+ years of experience in Data Engineering, Analytics Engineering, or Backend Development with a deep focus on massive data systems.
 

Geo-Spatial & Time-Series Expertise: Proven, hands-on experience handling massive datasets specifically involving geo-spatial (GIS) data, audience attributes, and high-frequency time-series data.
 

Advanced Software Engineering (Python): Mastery of Python beyond standard data scripting. You write highly modular, object-oriented code. You have deep, practical experience with Test-Driven Development (TDD), mocking, exception handling, and performance profiling, functional programming.
 

Architectural Vision: Deep expertise in designing scalable data architectures using both relational and horizontally scalable data warehouses/lakehouses (e.g., Snowflake, Redshift, Athena, StarRocks, Iceberg). You deeply understand query execution plans, partitioning, clustering, and cloud cost governance.
 

Big Data Frameworks: Extensive experience with large-scale data processing frameworks (e.g., Apache Spark, PySpark, AWS EMR, Glue) to handle massive throughput.
 

Expert SQL & dbt: You design scalable, robust data models (using Jinja, macros, incremental strategies) that serve as the foundation for our entire analytics layer.
 

AWS Cloud Native & IaC: Hands-on experience building architectures in AWS (e.g.: AWS Lambda, AWS Batch, Glue, StepFunctions, S3, EC2, ECS, ECR, Fargate) and deploying them using Infrastructure as Code (Terraform).
 

Leadership Skills: Superb organizational and communication skills. You can distill complex architectural trade-offs for non-technical stakeholders and drive technical consensus among your engineering peers.